Results 31 to 40 of about 4,940,536 (137)
Post-editing machine translated text in a commercial setting: Observation and statistical analysis [PDF]
, 2010 Machine translation systems, when they are used in a commercial context for publishing purposes, are usually used in combination with human post-editing.
Tatsumi, Midori
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MACHINE TRANSLATION FOR POST-EDITING PRACTICES
Scientific Journal of National Pedagogical Dragomanov University. Series 9. Current Trends in Language Development, 2022 It has been proven in many quality-focused studies that machine translation output in some language pairs is still far from publishable (Koponen, 2016). Even so, post-editing has become a daily practice among translators and translation service providers, especially with language pairs where machine translation demonstrates good human parity.
Povilaitienė, Milda, Kasperė, Ramunė
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, 2022 According to ISO18587: 2017, post-editing (PE) is the correction by a professional translator of a "raw" translation previously generated by a machine translation (MT) engine. Originally, authors such as Allen (2001) noted that this process introduced a substantial difference with respect to the revision of human translations, since PE deals with ...
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Learning to Copy for Automatic Post-Editing [PDF]
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019 EMNLP ...
Xuancheng Huang +4 more
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An Empirical Study of Automatic Post-Editing
CoRR, 2022 14 pages, 4 ...
Xu Zhang 0077, Xiaojun Wan 0001
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Post-editing of machine translation [PDF]
, 2019 This chapter analyses the evolutionary process that human post-editing of Machine Translation (MT) output has undergone in previous years. It is well known that post-editing can improve translating productivity as well as target-text quality relative to translation carried out ‘from scratch’, but post-editing has many facets.
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An annotated dataset of stack overflow post edits [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020 To improve software engineering, software repositories have been mined for code snippets and bug fixes. Typically, this mining takes place at the level of files or commits. To be able to dig deeper and to extract insights at a higher resolution, we hereby present an annotated dataset that contains over 7 million edits of code and text on Stack Overflow.
Sebastian Baltes, Markus Wagner 0007
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Improving the post-editing experience using translation recommendation: a user study [PDF]
, 2010 We report findings from a user study with professional post-editors using a translation recommendation framework (He et al., 2010) to integrate Statistical Machine Translation (SMT) output with Translation Memory (TM) systems.
He, Yifan +4 more
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Assessing post-editing efficiency in a realistic translation environment
, 2013 In many experimental studies on assessing post-editing efficiency, idiosyncratic user interfaces isolate translators from translation aids that are available to them in their daily work.
Läubli, Samuel +4 more
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Informatics, 2019 The recent arrival on the market of high-performing neural MT engines will likely lead to a profound transformation of the translation profession. The purpose of this study is to explore how this paradigm change impacts the post-editing process, with a ...
Hanna Martikainen
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